{"as_of":"2026-08-08T09:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:92c5efa70898a5d1b52bb7ca28e29a2a21ba4075858d3eb3aa7cdb9a40707567","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:37:16.071323Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T23:19:34.201863Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T23:29:01.951813Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"cited_work":{"arxiv_id":"2505.18481","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.18481","snapshot_observed_at":"2026-07-03T23:29:01.951813Z","title":"The kinetic limit of balanced neural networks.arXiv preprint arXiv:2505.18481, 2025","venue":null,"work_id":"0c0ee2c8-c705-4533-918c-38d52b9cf39b","year":2025},"citing_paper":{"arxiv_id":"2606.21394","last_updated":"2026-07-02T17:49:57Z","snapshot_observed_at":"2026-07-06T23:56:26.805329Z","submitted_at":"2026-06-19T13:00:54Z","title":"McKean-Vlasov Equations for Large Networks of Neurons with Adaptive Asymmetric Edges","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-03T23:19:34.201863Z"},"links":{"cited_paper":"/paper/2505.18481","citing_paper":"/paper/2606.21394"},"observation_digest":"sha256:1f7400e1920bc9bb59b0f2f8e6956ce82ae62cbb9212a01030d84f829ed784cf","observation_id":"b8120eb0-63a8-49e0-918e-412706855add","resolution":{"observed_at":"2026-07-03T23:29:01.953487Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.18481/citation-record","integrity":"/paper/2505.18481/integrity","json":"/paper/2505.18481/citation-record.json","paper":"/paper/2505.18481"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:27.540851Z","title":"Adams and James MacLaurin","venue":null,"work_id":"f5c8cde9-dd7e-43dd-8423-1e137dbd13dc","year":2025},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.362442Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:ca0a8dcb4e625c29b30784f8db7d07527b879cd621a45ed6efb27a608ace9f76","observation_id":"583793f5-fa0d-457c-ab27-2adb002ab282","resolution":{"observed_at":"2026-08-07T14:37:27.610198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:27.400958Z","title":"Multivariate hawkes processes on inhomogeneous random graphs","venue":null,"work_id":"7284e2e6-9931-4737-9489-420be3e7eaa9","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.425983Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:5fa34daf7b67292910024c9b8509d2b8ce08c8a9c58911aa5c61f4e237c86c3e","observation_id":"e9659e19-ac1d-46cd-9cd1-369f2bbfd8cf","resolution":{"observed_at":"2026-08-07T14:37:27.466482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:27.237525Z","title":"Large deviations theory for markov jump models of chemical reaction networks","venue":null,"work_id":"80587ea7-8864-4a9b-b393-7d818c1f51b9","year":2018},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.498951Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:967441fe35e9a89661969bfc087860f3203848c32667671ac4eacf8b999afc0d","observation_id":"88740559-eeb6-4aa4-98b1-d25790bd3e1c","resolution":{"observed_at":"2026-08-07T14:37:27.319374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:27.108764Z","title":"Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex","venue":null,"work_id":"188cc595-303b-4516-87ab-cf755e20091d","year":1997},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.568537Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:8f5d92ff2ca25b0c0b960e07f465cd93ceb01812e14017a8acca6e73bc1ea887","observation_id":"875354b0-9f40-4f6f-be46-8e1adced1d2a","resolution":{"observed_at":"2026-08-07T14:37:27.174679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.957198Z","title":"Stochastic Analysis of Biochemical Systems","venue":null,"work_id":"94948b8b-230b-41d8-b785-c30ae7be1443","year":2015},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.651216Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:734185f53ab8e76619e9ab7a24ed135f9585dcbf074d102d375b36799031b5ee","observation_id":"963db9cc-c5b5-47cc-8cbf-c3bf60bb709e","resolution":{"observed_at":"2026-08-07T14:37:27.040002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.819072Z","title":"Large deviations for langevin spin glass dynamics","venue":null,"work_id":"f697ac21-5ba8-475c-a7d1-20f5818f8025","year":1995},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.721081Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:cfa5e737afb8ef6d80bc13c3696b75f5948bbb6b9635b24097f794d304bb1a10","observation_id":"0d1a6750-ce53-4613-8f73-c84af10d02a8","resolution":{"observed_at":"2026-08-07T14:37:26.888108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.657891Z","title":"Cugliandolo-kurchan equations for dynamics of spin- glasses","venue":null,"work_id":"eee20db0-713e-4367-90d6-3106d891f41c","year":2006},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.803305Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:d84895fd361f95928578d9e5f5f6d718d962c76a2cf9074db2e427722f289789","observation_id":"1fafbecd-901e-4b63-a39a-06bfb496f590","resolution":{"observed_at":"2026-08-07T14:37:26.726882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12540","last_updated":"2025-08-25T01:49:42Z","snapshot_observed_at":"2026-07-06T19:04:43.716629Z","submitted_at":"2024-08-22T16:53:46Z","title":"Neural Fields and Noise-Induced Patterns in Neurons on Large Disordered Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12540","snapshot_observed_at":"2026-08-07T14:37:10.854609Z","title":"Neural fields and noise-induced patterns in neurons on large disordered networks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.854609Z"},"links":{"cited_paper":"/paper/2408.12540","citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:4cbbe350583a35fba6bc6ee292dd7b746ddab4ffc0d591bac77cbdb3c0d44190","observation_id":"3e4775ac-cdc0-4d1e-85a9-45ca5190cee3","resolution":{"observed_at":"2026-08-07T14:37:10.854609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.503026Z","title":"Mean-field description and propa- gation of chaos in networks of hodgkin-huxley and fitzhugh-nagumo neurons","venue":null,"work_id":"fa222e3d-0125-43ea-9d5e-33c87d0d88d8","year":2012},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.905656Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:6047aa045f2d57716b45ff5eded8bc65abfd9a4a43c4146d03a288c4a648769c","observation_id":"86490043-3c18-43b4-b78c-4a9eff0b3e8d","resolution":{"observed_at":"2026-08-07T14:37:26.599473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.341784Z","title":"Barranca, Asha Bhuiyan, Max Sundgren, and Fangzhou Xing","venue":null,"work_id":"9b62814a-8bd5-4322-9b14-3d197940c4e1","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.911498Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:415c62214e4033c298bba6bdc40e054b7a6eeb91b2d76227b3aecbabd7c2c2b7","observation_id":"78b11bb0-5b65-4e38-bd9f-9213ccbe6e18","resolution":{"observed_at":"2026-08-07T14:37:26.401782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.194257Z","title":"Noise-Induced Phenomena in Slow-Fast Dynamical Systems","venue":null,"work_id":"5596d79e-aa0c-4951-8d55-8acc12b9f5a1","year":2006},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:10.921735Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:b8da9a4ca35f38a696274c53ecf4dc75eef89b5cd8feb56d0d7fb5f167f49e20","observation_id":"3b20430a-e7f8-48e7-b501-3fd889f48b6b","resolution":{"observed_at":"2026-08-07T14:37:26.262525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:26.049873Z","title":"Machens, and Sophie Den` eve","venue":null,"work_id":"61cded78-6930-4a19-9a2c-97e0f6235fb0","year":2013},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.039228Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:72c85b095bac5366895506c32aa668e77af970d483df47fd09817c2b43464e0b","observation_id":"53bbbc48-f435-41a3-8096-fec92e698291","resolution":{"observed_at":"2026-08-07T14:37:26.119134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.927800Z","title":"Pattern formation in random networks using graphons","venue":null,"work_id":"b9d0c298-154c-44b7-a443-b1457f170d81","year":2023},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.149592Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:21a4dfbb984856bc2a231b84ce19e68039affeba33abd72c5dbe43e5a42cdb18","observation_id":"bc37b23a-29b9-4c2f-811b-890c6d8d329e","resolution":{"observed_at":"2026-08-07T14:37:25.969848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.788262Z","title":"Bressloff","venue":null,"work_id":"74d11bcc-adf3-4461-baf7-8630303e7c81","year":2012},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.267450Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:fe2a1033dd2f22df7728ed3af779926a215a90648a58a0c55b756b613eb4345e","observation_id":"3dc4b616-9f37-4ede-a07f-18f9273610da","resolution":{"observed_at":"2026-08-07T14:37:25.865783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.645585Z","title":"Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons","venue":null,"work_id":"981077c7-b788-452e-b22b-761f3198a13c","year":2000},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.399429Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:f0d6d9c320931979e95201c45105facd0a1de37535beb77f4ea41d433c05f3f9","observation_id":"35f8e5e6-ec34-4e49-b92e-b9b8e0dbecf7","resolution":{"observed_at":"2026-08-07T14:37:25.708639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.481026Z","title":"Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition","venue":null,"work_id":"8b97ad02-9179-46a9-a2ca-5de6d3a4427a","year":2001},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.517725Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:06faa0a77167431b965a35ca603e38a38306af3a8a0471212e09c328ecfdfc82","observation_id":"0529a1d6-29aa-4476-905d-706a964c0b54","resolution":{"observed_at":"2026-08-07T14:37:25.555969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.311023Z","title":"Propagation of chaos: a review of models, methods and applications","venue":null,"work_id":"4e13ce9d-576f-481a-8bc7-d4760515ae6c","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.629394Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:0796342f483ca14a741d62cd0aacde166903452cdae6d42af10ec6135aeade79","observation_id":"c430f65b-843f-4bb5-b518-5c781a147aad","resolution":{"observed_at":"2026-08-07T14:37:25.358983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.212408Z","title":"Spin Glass Theory and Far Beyond","venue":null,"work_id":"0b104434-1ec5-4a5a-acac-2bbfef7bdbba","year":2023},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.713014Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:f6fe32ce9b28cf8be2b178e4ac9fd971ae74ae02008ce8d801630cd3497907cd","observation_id":"081c231a-7148-4135-bb67-6d861624dc46","resolution":{"observed_at":"2026-08-07T14:37:25.249892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:25.023555Z","title":"Mean-field limit of generalized hawkes processes","venue":null,"work_id":"26a31e7a-2c3f-4897-af88-8545568269b0","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.814937Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:eda44616f499ca78e36c2409ecf7af956f5090692ed56f608f787affb967df85","observation_id":"c7a2ee83-3c3f-4fd5-bc24-179f9d47e3e2","resolution":{"observed_at":"2026-08-07T14:37:25.120967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.876596Z","title":"Cook, Andre D","venue":null,"work_id":"4a3523b2-de89-4f29-be4e-499822d7e725","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.907849Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:c809fa3b5c6bf7c0b10d9001c07b924882d9efaecfca008d6d30ec327b261e19","observation_id":"6fcb532a-840c-4a6a-8c13-c4c7cfc2ee7f","resolution":{"observed_at":"2026-08-07T14:37:24.944686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.760511Z","title":"Neural Fields: Theory and Applications","venue":null,"work_id":"24fcf0a9-ace7-42ad-9c58-412d35fdcd61","year":2014},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:11.991142Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:784564100e3de5ab4161d5d7337b6c76f39d6bc75bb635de44504a6ce4a4ab0c","observation_id":"7d468ff8-70e8-44a5-847b-bd69dd75c500","resolution":{"observed_at":"2026-08-07T14:37:24.823963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.574335Z","title":"Crisanti and H","venue":null,"work_id":"e09e2edd-ab3a-4fa9-aa9f-eed4ec88a8d0","year":2018},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.155099Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:3be2ea4bd4855e7838f88d5338850635c5e2d8f1f66d36c59bfd8678fa1eea29","observation_id":"94b06f6b-75c1-4fb3-98b1-2b3113989052","resolution":{"observed_at":"2026-08-07T14:37:24.651912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.437972Z","title":null,"venue":null,"work_id":"abd37cbb-bd9b-4f72-a2ce-3c7f5fdbd71a","year":1993},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.271554Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:970db67d4edf6cf114584297ce8fda60eb9199912a0215222e15f5883298a0cf","observation_id":"48846bc5-c72b-49a0-b8e4-763bb8b5cc0f","resolution":{"observed_at":"2026-08-07T14:37:24.500843Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.241419Z","title":"Strength of correlations in strongly recurrent neuronal networks","venue":null,"work_id":"f5c6e9bc-2d86-4b82-b902-24dbebb6c2e9","year":2018},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.390762Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:79761064d174ab33d7663e301ef87dfae6cf154f9a0332e2ab275606b8c3146d","observation_id":"459d4225-fa52-4f63-bf48-2d1c24eeb4ef","resolution":{"observed_at":"2026-08-07T14:37:24.323304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:24.048013Z","title":"Interacting hawkes processes with multiplicative inhibition","venue":null,"work_id":"2e070159-ba1f-4dd8-9f7b-a86e972b47d4","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.471214Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:b8ffc4426f2ff925b8cc2d71f00f460bccd819302effef497044c585ca19f285","observation_id":"7a2e87d0-b4a4-478b-853a-6aef2401d7a6","resolution":{"observed_at":"2026-08-07T14:37:24.152087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:23.865802Z","title":"Spatially extended balanced networks without translationally invariant connectivity","venue":null,"work_id":"680ea888-104e-4375-86f6-6846aa3264e9","year":2020},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.616926Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:a2d5a854880e61b0583deb37ee65fc44b088c7405f6675898a533073433c7d1c","observation_id":"a2d30b59-15e6-418d-8f50-9780211430d2","resolution":{"observed_at":"2026-08-07T14:37:23.935989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:23.660002Z","title":null,"venue":null,"work_id":"4d8c6967-e1d0-48c9-bb0d-d6026b67c094","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.729856Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:7f7e0dde69199ff35490213d55306ed8d0cd6f31ab0b41a8789ced89c6cca439","observation_id":"fcb967de-cbfc-433e-836a-d88fde1b7f1a","resolution":{"observed_at":"2026-08-07T14:37:23.776219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:23.496638Z","title":"Neural networks as spatio-temporal pattern-forming systems","venue":null,"work_id":"aeb952fd-279f-4843-9004-8e9916eaec41","year":1998},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.827389Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:6dc1543f4f58448e35dd2c6f30dd478d7b3bdc4512430179768e807592f31b13","observation_id":"7f76ddcc-bae2-46c5-8cd9-e1b775e26e92","resolution":{"observed_at":"2026-08-07T14:37:23.575405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:23.283255Z","title":"Mean field limits for interacting hawkes processes in a diffusive regime","venue":null,"work_id":"bf6c7657-2709-473d-9bb6-ccf211db8236","year":2021},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:12.923163Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:96669bf1adf362bf21bda7fbd4f4e5052f8d88ba8c982e6a1db42b4f28217cc7","observation_id":"e6f479fe-0dfb-4fd8-9e2b-9d554b874538","resolution":{"observed_at":"2026-08-07T14:37:23.373856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:23.054360Z","title":"Asymptotic description of neural networks with correlated synaptic weights","venue":null,"work_id":"c790a936-c358-4890-b86e-a63f0bd25d91","year":2015},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.013003Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:b82486b79eac49ed70b010710b30e9c83eefd256b98b0fd0cacd050824ad73e7","observation_id":"da27083b-40b6-4c60-a3a4-41137878e0fa","resolution":{"observed_at":"2026-08-07T14:37:23.202400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.898776Z","title":"Mechanisms underlying gain modulation in the cortex","venue":null,"work_id":"6e3d35ee-773e-4076-b1b8-6b6538dc6529","year":2020},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.134349Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:a134ad030ea025189412a470a87f921db405425e3dd946d80f68be5f716fa883","observation_id":"c0abf8fd-8676-47ff-9ad8-ca98eecb4397","resolution":{"observed_at":"2026-08-07T14:37:22.949916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.718424Z","title":"Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons","venue":null,"work_id":"d27c105b-a46c-4f6e-8f1b-78e302264821","year":2003},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.187008Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:5a97e619149d048d61859071da3b1c21205712487327280ecbca3f940e6c1b32","observation_id":"75136c5e-a924-49b2-9a10-28b8c900eb2f","resolution":{"observed_at":"2026-08-07T14:37:22.771724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.561541Z","title":"Statistical field theory for neural networks","venue":null,"work_id":"0146b2d5-6b11-4df3-9377-c3b2bfa20d7f","year":2019},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.262140Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:e376396f39c6998cb7afa89ad47bc71f0715bb9f253727b084104154b62cb3ce","observation_id":"60c592da-db1a-4cb2-baa6-f242bf3f235a","resolution":{"observed_at":"2026-08-07T14:37:22.626520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.431021Z","title":"Pattern formation in intracortical neuronal fields","venue":null,"work_id":"71a75713-730b-4dbc-a64b-ca921609a250","year":2003},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.345182Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:fbe06c4139ddf5106428a9d48c6f8363c82e8c22e90ccd790908dcc90bb03c15","observation_id":"c89c2d4c-3806-47bc-9242-0e65f712eee6","resolution":{"observed_at":"2026-08-07T14:37:22.475090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.259540Z","title":"Mean field limit for stochastic particle systems","venue":null,"work_id":"a75d2293-9941-49e4-9765-dcc097ffe161","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.415377Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:3ca5d4aef118df7b5e63f5c6289a8e08d0426315dc839ff63bb22a7f85e0129c","observation_id":"3eb85855-2db3-4f76-b2da-f4a3f36e464c","resolution":{"observed_at":"2026-08-07T14:37:22.348456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:22.042830Z","title":"Predictive coding in balanced neural networks with noise, chaos and delays","venue":null,"work_id":"bdd17528-7a14-4d6f-8285-e926e6bed249","year":2020},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.475542Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:20759826e3e769adac2e013be1b9c9bd2d8068197d8f232aac21a7954e2a01fa","observation_id":"13cfaa59-048d-4812-af68-68385bdec746","resolution":{"observed_at":"2026-08-07T14:37:22.152562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:21.890079Z","title":"Brownian Motion and Stochastic Calculus 2nd Edition","venue":null,"work_id":"0d399329-b697-461f-a43f-82061293fba8","year":1991},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.567661Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:cdeeecb8d8f375a4dc50bd0878a4585bea972089132051d439e5122f56ee551f","observation_id":"d2f36c5c-02d4-4363-be34-f8a86d97257c","resolution":{"observed_at":"2026-08-07T14:37:21.966339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:21.728325Z","title":"Solutions of a stochastic differential equation forced onto a manifold by a large drift","venue":null,"work_id":"d6d444b5-fbad-4956-bd9b-c7aa50799708","year":1991},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.633490Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:b08c36ada440c49198b49c4c8cc74d8bfdc2bd1e149d0a6facf5add3624c08d9","observation_id":"c6196792-923f-475f-ac92-40263b0ece40","resolution":{"observed_at":"2026-08-07T14:37:21.804992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:21.518120Z","title":null,"venue":null,"work_id":"18feaec8-99d5-46fa-b5dd-1fbb69f161a5","year":2014},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.720439Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:47740f0e5925d3e884506bf3071649472c4704b8d3c2039576393bc5a00d0535","observation_id":"88fdd091-90f6-4f19-8982-53c418a7104c","resolution":{"observed_at":"2026-08-07T14:37:21.609374Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:21.320428Z","title":"Slow dynamics and high variability in balanced cortical networks with clustered connections","venue":null,"work_id":"934c9766-c086-47ee-8fd4-83318a04ed8e","year":2012},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.823362Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:1f3a088e43e5e2e9a2f037350cf3ad5696a927e982f6f3765488d78ce2223756","observation_id":"4ecfe1b7-f753-4bcd-8ef0-649dcef0e2f5","resolution":{"observed_at":"2026-08-07T14:37:21.375436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:21.157734Z","title":"Quenched asymptotics for interacting diffusions on inhomogeneous random graphs","venue":null,"work_id":"da5a08c2-f162-4a85-b919-cd3cf4697565","year":2020},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:13.902932Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:06a619e143c5551971f4a2c4b523d7aa7cd1232562f04c5bfbecb538a8e47910","observation_id":"47923737-f4ac-4e1c-b0be-92e01609ba50","resolution":{"observed_at":"2026-08-07T14:37:21.269354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:20.958564Z","title":"Large deviations of hawkes processes on structured sparse random graphs","venue":null,"work_id":"75253a0f-a27f-4114-aa20-d443f1fbabd7","year":2024},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.000894Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:2cb8cbc4d3dd18471fd576555483135405bec5f188505c8447139b7a6367695a","observation_id":"4410ba15-22f3-499f-b396-83f27214f7fe","resolution":{"observed_at":"2026-08-07T14:37:21.073862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:20.741899Z","title":"Population-level activity in large random neural networks","venue":null,"work_id":"5af92a81-09b9-482c-bd7f-74a51962cb26","year":2024},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.111939Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:7126aea2dd0c8e18e5985cc17c34ac6112c07bee6a2d3432a43fdbfe2c8ab734","observation_id":"f9441c56-ede6-4d3e-ba7b-31f8532fb685","resolution":{"observed_at":"2026-08-07T14:37:20.855419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:20.505884Z","title":"The hydrodynamic limit of balanced neural networks","venue":null,"work_id":"54fc9427-638e-4598-8da7-5ae5f6741b61","year":2025},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.174015Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:5da792cd853d855e98874e3815bfe38eb6e5dc7d4eacd474342f6991489bf5ce","observation_id":"ba765c63-d5ba-4e90-8d08-dba4ae9aeff6","resolution":{"observed_at":"2026-08-07T14:37:20.636955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:20.340410Z","title":"De Masi, A","venue":null,"work_id":"d49f6f68-dee3-4153-8d80-a4d666ac3546","year":2014},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.246383Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:da891f23c2a8f2228d2b8ada6ca84e6c8f0538c761d0c79cd9333ce18a7ae490","observation_id":"65068eef-44a8-4db8-9063-12603654b669","resolution":{"observed_at":"2026-08-07T14:37:20.420544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:20.124716Z","title":"Dynamical entropy production in spiking neuron networks in the balanced state","venue":null,"work_id":"d43829e3-5a30-45c1-815f-3d7302440eed","year":2010},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.304522Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:6e0f04a448e9d6db8dc648a4624454c00b40aeae9f5490bb2f592f9155e05022","observation_id":"aed9d23d-62ba-4e0c-a9ab-886da129dc53","resolution":{"observed_at":"2026-08-07T14:37:20.214113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.858285Z","title":"Large deviations and mean-field theory for asymmetric random recurrent neural networks","venue":null,"work_id":"d5e2b2c1-efd5-4beb-a8d6-f8f0a0555657","year":2002},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.380458Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:e3fee8cae44b0e67b562c5602988e89e3e0483441f4b34cb81117ea3f9b43b78","observation_id":"32cfc494-c614-4ef2-8c66-824e771e7cc7","resolution":{"observed_at":"2026-08-07T14:37:19.983668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.705523Z","title":"Parsons and Tim Rogers","venue":null,"work_id":"97524fea-79c1-455f-bc19-56d0637bae90","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.444866Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:f35471da79b830aa1abcea6b2a067f2f9ebdbc0ed7b8505501911cc001c45422","observation_id":"47010eff-c691-42d0-8102-fc401fc3b473","resolution":{"observed_at":"2026-08-07T14:37:19.771227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.581679Z","title":"Selectivity and sparseness in randomly connected balanced networks","venue":null,"work_id":"7b67fc54-b5ee-4443-9884-3c57b047d1a5","year":2014},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.539731Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:282166f64a8cd4ab842ff6f153c4f9431d221dc925c50ac29a75a9871b4c493a","observation_id":"d010b521-948b-49e2-977c-ff4af7d26ad7","resolution":{"observed_at":"2026-08-07T14:37:19.642910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.429757Z","title":"Pfaffelhuber, S","venue":null,"work_id":"21ca12ea-4e3c-4593-9e32-4ea4471af38d","year":2022},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.616210Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:9fee4d32e5e55f5ca1d282b293ea0f7bc099f2eb3809a7edf5e4bafa40eee90d","observation_id":"17507397-4072-4e63-af44-c38c6601b728","resolution":{"observed_at":"2026-08-07T14:37:19.501190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2501.11769","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:16.309569Z","title":"Balanced dynamics in strongly coupled networks","venue":null,"work_id":"570a66cd-049a-4207-ac1f-4869c13e60e7","year":2025},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.689589Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:2f36fba65de83694c45145ecc2b0ddf1278e90aba454a561aea39c56299b2b35","observation_id":"89462ebf-c135-4b58-beda-6983215d2ce4","resolution":{"observed_at":"2026-08-07T14:37:16.448620Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.243700Z","title":"Balanced networks of spiking neurons with spatially dependent recurrent connections","venue":null,"work_id":"b4eb310b-1bf6-4297-9f4a-34d282243835","year":2014},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.789527Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:5154bd29cba5626d50befad4a1b172d10d18cbf477b2b9ba8781f21415fe8ccd","observation_id":"0df07e24-df3d-4fce-8bdc-e557199ca159","resolution":{"observed_at":"2026-08-07T14:37:19.350028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:19.092801Z","title":"Smith, Adam Kohn, Jonathan E","venue":null,"work_id":"41d028a1-90f9-4335-8f69-2bcf6cc027c3","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.844901Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:56b72daa206423fde2c56f4fec1782d9eaf922c76da7a3155eb799e2bf554f04","observation_id":"01648a84-19e6-4282-8bee-6c6f04f5d512","resolution":{"observed_at":"2026-08-07T14:37:19.156931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.907980Z","title":null,"venue":null,"work_id":"1dcf280c-a4c8-40f1-931d-60921991d39d","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:14.948079Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:345a7361efb895585fb833272c028da0d42b14c48e8732c84f8f3da5fc500779","observation_id":"3441aa1d-26c8-4f1d-a8c3-74b1560b1944","resolution":{"observed_at":"2026-08-07T14:37:19.014288Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.741885Z","title":"Noise, neural codes and cortical organization","venue":null,"work_id":"8e0704cc-c01e-4d21-a726-acf67940ba50","year":1994},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.045194Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:42b839188cd930326116785d2c05f1926319a9f9976d0fd7045fb24576805ae5","observation_id":"f525689b-1e94-44c5-9aea-60ca1e7b0de4","resolution":{"observed_at":"2026-08-07T14:37:18.826875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.563079Z","title":"The variable discharge of cortical neurons : Implications for connectivity , computation , and information coding","venue":null,"work_id":"1ae15eff-6b92-4ff0-b7c1-2927e7a04a5d","year":1998},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.128854Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:8ae428ab36b70fcff69fddba3da1733422b887bee05c3d5d992b5147e3abddc4","observation_id":"6456eb9e-8927-460e-848e-2e16c8f75ca5","resolution":{"observed_at":"2026-08-07T14:37:18.648794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.383736Z","title":"The highly irregular firing of cortical cells is inconsistent with temporal integration of random epsps","venue":null,"work_id":"e0af54b8-de54-49d6-83a9-009ddee55069","year":1993},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.280251Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:cc70d72b65aafc0b473f06ebeaea9bcbe5bd80ae99207fae7effb3bb0f5f1689","observation_id":"3931dada-b2ad-4387-aff0-6104b8f41aba","resolution":{"observed_at":"2026-08-07T14:37:18.450329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.227187Z","title":"Time-dependent order parameters in spin-glasses","venue":null,"work_id":"0f35138d-f775-4681-b83f-82675295e2cf","year":1981},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.401481Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:356c4cfe77c7f7bb7148ee92ed04caaa36f0d780ddb685bb967eb1f526ff485b","observation_id":"78e36b04-0c38-49fc-993d-0c6507326e84","resolution":{"observed_at":"2026-08-07T14:37:18.294090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:18.083417Z","title":"Topics in Propagation of Chaos","venue":null,"work_id":"c369f0cd-4cb5-47c2-8d9b-af545be53a37","year":1989},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.455101Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:30a23c888a1a73d5c047699ff98c42d716a3e324fa7c5546bd91c4518c875f94","observation_id":"05fe903f-298a-4e26-888d-e5356a628033","resolution":{"observed_at":"2026-08-07T14:37:18.140602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:17.916612Z","title":"Bistability and up / down state alternations in inhibition- dominated randomly connected networks of lif neurons","venue":null,"work_id":"1fdfd875-8bce-4507-b288-40536b6f4806","year":2017},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.535602Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:047fd408a3aa42b1a23cf9b79f4ac93fd1cd4e3283358d5746a2a814a41ab117","observation_id":"b67b9695-cf4a-4501-9596-adabba1c65a5","resolution":{"observed_at":"2026-08-07T14:37:17.988914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:17.751618Z","title":"Chaotic neural dynamics facilitate probabilistic computations through sam- pling","venue":null,"work_id":"46394342-9efa-4149-b1a4-7636df4030cb","year":2024},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.643212Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:c787c885a4e6167e7ae99a950e244e6bc20919cdbca8c703ae9bb2ce5e8b5698","observation_id":"21d51b9e-430d-49f9-9abd-28e459269e74","resolution":{"observed_at":"2026-08-07T14:37:17.830581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:17.595533Z","title":null,"venue":null,"work_id":"7fc7bd29-d624-4f94-9e0d-b6ac6d44c6c6","year":1995},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.698936Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:db8dda9d07384ea5406c2ad93bb35034682d184990df216fc5fdbdc22497adf2","observation_id":"6b5da9f7-edeb-47dc-9524-d5f9a5900b17","resolution":{"observed_at":"2026-08-07T14:37:17.666212Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:17.433833Z","title":"Paradoxical effects of external modulation of inhibitory interneurons","venue":null,"work_id":"1b8b06fe-d63f-4dc8-8d95-fa6446a1d57e","year":1997},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.797381Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:ff9d49bea2b5bea09fc26c69a9949f906c166ca817761a23803d16fe78813c47","observation_id":"c6ef3143-bded-4176-afe9-855918afc41c","resolution":{"observed_at":"2026-08-07T14:37:17.489288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:17.177855Z","title":"van Vreeswijk and H","venue":null,"work_id":"5692cb15-1ab0-495b-8418-a86e19f9597c","year":1996},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.865568Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:8555ef81fc8b945c8c6929ffe5b845c8b2d800b877897059491a558d1cbe28a4","observation_id":"4222fc0c-5c60-43b6-a72e-b4201f505784","resolution":{"observed_at":"2026-08-07T14:37:17.309210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:16.889505Z","title":"Chaos in neuronal networks with balanced excitatory and inhibitory activity","venue":null,"work_id":"f371cf8e-6c8e-4b49-a974-c13fbdf862e6","year":1996},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:15.940436Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:dc2db2158fa1a727b7fad201f67acaba4921b8a126f966bfafb7daa48cd7a69d","observation_id":"babe7139-e4ab-4739-beaa-71e7930a1c14","resolution":{"observed_at":"2026-08-07T14:37:17.067300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:16.735640Z","title":"Van Vreeswijk and H","venue":null,"work_id":"cb1fb7aa-9e5e-41ba-91fc-febd3e6f4ce2","year":1998},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:16.008599Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:c06f95e97abb51e75d16aa2d650332cfdd9663aa8e7c30805756bdbd2041a246","observation_id":"53deb7d9-6a48-453f-8422-720b2180de95","resolution":{"observed_at":"2026-08-07T14:37:16.787322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:37:16.544637Z","title":"Irregular Activity in Large Networks of Neurons","venue":null,"work_id":"fa6e9888-3e18-4874-a971-8ca1dcfa9aa3","year":2003},"citing_paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:16.071323Z"},"links":{"citing_paper":"/paper/2505.18481"},"observation_digest":"sha256:c00817c320b5aa1f79482c57cf54d6013c418e65fc963c3e3358cf682fc7e35a","observation_id":"602d797a-0989-4c6c-bc2c-9807b30e1e02","resolution":{"observed_at":"2026-08-07T14:37:16.638330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.18481","last_updated":"2025-05-24T03:08:36Z","latest_version":1,"primary_category":"math.PR","snapshot_observed_at":"2026-08-07T14:28:36.764476Z","submitted_at":"2025-05-24T03:08:36Z","title":"The Kinetic Limit of Balanced Neural Networks"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":60},"total_outbound_references":67},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2505.18481."}